The geographical constrain of small islands associated with fisheries commodities, is due to the lack of insufficient infrastructure and socio-economy characteristics, in addition to the nature of fisheries commodities where the durability and inconsistency of quality and quantity of the particular region become very vulnerable to uncertainty of supply chain. This study aims to formulate a strategy to mitigate the existing effect of uncertainty supply chain in Southeast Maluku Regency. The data mining approach with naïve bayes was used to determine the clusters of areas with high to low interdependency in villages and sub-districts. In addition, the House of Risk (HOR) was used to identify the cause of risks and provided the most effective and efficient alternative strategy to mitigate the uncertainty of the fisheries' supply chain sector. Data were collected from 28 villages to obtain 322 datasets by using the purposive sampling technique and expert assessment method for the data mining process, and HOR, respectively. The result show that the village location, resources, and fishermen's ability to sell and buy their gear were the main determinant factors of interdependency. Furthermore, there were, at least, three clusters of interdependencies with the integration of a web-based system to help spread information to fishermen and aquaculture farmers. In conclusion, policymakers need to be more adaptable to the use of information technology to efficiently improve the welfare and performance of coastal communities, aside from constantly enhancing the region's infrastructure.

Supply chain is the most important factor in increasing competitiveness since the biggest cost of a product is in the supply chain. PT. EJI is a printing and merchandising Services Company that has several suppliers and almost all processes are inseparable from the supply chain system. Supply chain problems at PT EJI are in the production process, delivering orders, PO In and PO Out. Repairing the supply chain can be accomplished through the Supply Chain Operation Reference (SCOR) Method. This study recommends improving supply chain based on the results of performance measurement with the SCOR method which consists of 4 performance criteria, namely: 1) Reliability Criterion: Perfect Order Fulfillment (POF); 2) Responsiveness Criterion: Order Fulfillment Cycle Time (OFCT); 3) Cost Criterion: Cost of Goods Sold (COGS); 4) Assets Criterion: Cash to Cash Cycle Time (CTCCT). The results of the performance measurement show that the delivery process was 80.0, which is the lowest compared with other metrics, namely Make 99.0 and Source 95.0. Supply Chain improvement recommendations are shipping improvements (delivery) through the separation of shipping routes for shipping Online and Offline, checking the quality of invoice documents to avoid incomplete documents, making SOPs for shipping, and providing dietary at the time of delivery to avoid mismatching goods.

Supply Chain Management (SCM) is the set of approaches used for the appropriate integration and utilization of suppliers, manufacturers, warehouses and retailers to ensure the production and delivery of products to end users in the right quantities and at the right time. Integration of the stages in the supply chain can make it more effective and profitable as a whole. In the present study, an integrated production and distribution problem in a two-stage supply chain is considered. The supply chain consists of m manufacturers with different locations and rates of production, and a distributer that delivers the ordered products to customers in different locations. Here, products are seasonal and perishable and must be delivered before a specified time. To characterize the problem, a Mixed Integer Programming (MIP) model is proposed and to solve the proposed model, a Hybrid Simulated Annealing (HSA) and a Genetic Algorithm (GA) with mixed repair and penalize strategies are introduced. Computational results of HSA are compared with those of the GA algorithm as the current best algorithm for solving similar problems in the literature.

The uncertainty in the supply chains (SCs) for manufacturing and services firms is going to be, over the coming decades, more important for the companies that are called to compete in a new globalized economy. Risky situations for manufacturing are considered in trying to individuate the optimal positioning of the order penetration point (OPP). It aims at defining the best level of information of the client’s order going back through the several supply chain (SC) phases, i.e. engineering, procurement, production and distribution. This work aims at defining a system dynamics model to assess competitiveness coming from the positioning of the order in different SC locations. A Taguchi analysis has been implemented to create a decision map for identifying possible strategic decisions under different scenarios and with alternatives for order location in the SC levels. Centralized and decentralized strategies for SC integration are discussed. In the model proposed, the location of OPP is influenced by the demand variation, production time, stock-outs and stock amount. Results of this research are as follows: (i) customer-oriented strategies are preferable under high volatility of demand, (ii) production-focused strategies are suggested when the probability of stock-outs is high, (iii) no specific location is preferable if a centralized control architecture is implemented, (iv) centralization requires cooperation among partners to achieve the SC optimum point, (v) the producer must not prefer the OPP location at the Retailer level when the general strategy is focused on a decentralized approach.

Systematic literature review in supply chain and decision support system, in general, have been rapidly performed during the last decade. However, the studies on the epistemological progress of decision support system related to the supply chain are still lacking. This study intended to provide comprehensive information on the trends, methodologies and the applications on different sectors and platforms used by scientists for building their decision support systems in supply chain. We used different keywords to collect the raw data based on articles published in well-known journals in the world to select the eligible studies which furthermore assembled. The data were processed by using bibliometric tool in VOSviewer and Microsoft Excel. The results of this systematic review give some key learning of the trends on the use of decision support system on smoothing the flow of supply chain and the logistic performance in the last decade and also provide a background for future research related to the fields.

This paper makes an assessment on the impact of co-creation strategy as part of digital transformation in Industry 4.0 on supply chain management. We argue that the concept of strategy has shifted from the competitive strategy into co-creation strategy based on collaboration value. In developing co-creation strategy, the input is derived from external factors associated with customer experience and internal factors related to distinctive capabilities and both focus on core competence development in supply chain management. We use telecommunication firms as our unit analysis with sample of 35 Indonesian Information and Communications Technologies (ICT) firms analysed using Partial Least Square (PLS). The findings show that the developing of co-creation strategy was supported by distinctive capabilities and customer experience. The findings also indicate that co-creation strategy emerges as a key in sustaining business of the firms to focus on developing customer experience and providing distinctive capabilities.

This study, both descriptive and exploratory, aims to examine the scientific literature on the supply chain performance measurement (SCPM) in the automotive sector over the last 12 years. The analysis featured 30 articles corresponding to the research topic of the Scopus database. The most pertinent articles, authors, keywords, countries, research laboratories and journals are presented using the analysis of bibliographies on the subject from 2007 to 2018 in the Industrial Engineering domain. The conclusion is performed by the systematic analysis that the automotive sector is well controlled on the subject of performance. The selected studies show that lack of understanding of the performance measurement system (PMS) and lack of management dedication are the main obstacles. Finally, various guidelines are provided to optimize the supply chain in the automotive sector.

The purpose of this study is to examine the relationship between zakat collection and distribution as core supply chain perspective for their economic impact in the region of Indonesia. The study collects the necessary data from various respondents who are paying zakat and interacting with various collections and distribution centers of zakat. A sample of 362 respondents is finally observed for descriptive, correlational and regression analysis. It is observed that both collection and distribution of zakat are core indicators in terms of supply chain with their economic outcomes. More specifically, zakat collection and distribution have positive impacts on equal distribution of wealth, cleanliness of wealth, economic growth, provision of educational facilities to needy students, and delivery of good health facilities in Indonesia. In addition, it is also found that more collection and distribution centers can lead to better economic output in the economy, where the role of mosques and Muslim community center is very important. Besides, some limitations in the current research need to be readdressed in future. First, the study has provided a limited context of zakat collection and distribution which could be expanded while adding the latest policies being adopted by the local government and their economic impact. Second, future studies could be reconsidered through getting the significant responses from those who are directly linked to the collection and distribution of zakat as they have much more body of knowledge about their economic implications.

Digitalization plays a crucial role on current competitive market and it is associated with the utilization of digital technologies to change business model and to deliver new value-producing opportunities to the current business environment in an aim to move towards a digital business. Therefore, to address new business model, the purpose of this study is to explore the effect of digital customer experience and electronic word of mouth on sustainable performance of supply chain through brand image and supply chain image. In this study, data is collected from employees of Indonesian ICT companies. Clusters were formulated, and respondents were selected randomly. Three hundred and fifteen (315) responses were analysed with the help of structural equation modelling. The results indicate that digital customer experience and electronic word of mouth played positive role on promoting brand image. Brand image had positive role to promote supply chain image which influences positively on sustainable supply chain performance. Therefore, this study is important for Information Communication and Technology (ICT) industry to implement various e-commerce practices to promote digital customer experience and electronic word of mouth.

Digitalization is impacting almost every aspect of people’s life and is greatly affecting supply chain processes. At the same time, supply chains are becoming progressively more aware of their impacts on people, the planet and profits (triple bottom line perspective) and the concept of sustainable supply chain has received increasing attention among scholars and practitioners. In this context, this article aims to analyze scientific research on supply chain management in the field of sustainability and digitalization using a bibliometric approach. To this end, this article analyses 484 papers from Scopus database according to the following parameters: chronology, discipline, source, center, country and citations. The dataset consisted of articles from scientific journals published over the period 2002–2018. In addition, VOSviewer software is used to map the bibliographic material using the co-occurrence of keywords and most influential journals. The analysis reveals that: sustainability and digitalization are important emerging fields within supply chains that have increased significantly during the last ten years; the USA is the most influential country; and the topic is structured around 2 clusters (1) Supply chain management, concepts and practices and (2) energy related technologies. The results may facilitate the planning, designing, running and publishing of future research on this topic.